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  2. Cascading classifiers - Wikipedia

    en.wikipedia.org/wiki/Cascading_classifiers

    Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade.

  3. Cascade classifier - Wikipedia

    en.wikipedia.org/?title=Cascade_classifier&...

    This page was last edited on 9 April 2016, at 12:19 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...

  4. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  5. List of XML markup languages - Wikipedia

    en.wikipedia.org/wiki/List_of_XML_markup_languages

    xCBL: a collection of XML specifications for use in e-business. xCal: the XML-compliant representation of the iCalendar standard; XCES: an XML based standard to codify text corpus; XDI: sharing, linking, and synchronizing data using machine-readable structured documents that use an RDF vocabulary based on XRI structured identifiers

  6. Predictive Model Markup Language - Wikipedia

    en.wikipedia.org/wiki/Predictive_Model_Markup...

    The Predictive Model Markup Language (PMML) is an XML-based predictive model interchange format conceived by Robert Lee Grossman, then the director of the National Center for Data Mining at the University of Illinois at Chicago.

  7. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    In machine learning, support vector machines (SVMs, also support vector networks [1]) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.

  8. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.

  9. Open Cascade Technology - Wikipedia

    en.wikipedia.org/wiki/Open_Cascade_Technology

    Open Cascade Technology (OCCT), formerly named CAS.CADE, is a development platform for 3D computer-aided design (CAD), computer-aided manufacturing (CAM), computer-aided engineering (CAE), etc.